folder=$(cd "$(dirname "$0")";pwd)
echo '14res'
datasetname=14res
launch -- python3 $folder/train.py --train.max_iters 500000 --data.dataset_root "$folder/dataset/ASTE-Data-V2-EMNLP2020/$datasetname" --data.batch_size 8 --save_path ./checkpoint/$datasetname --resume_path ./checkpoint/$datasetname/model.pkl --data.cropus_path $folder/dataset/cropus/42B_w2v.txt --train.lr 1e-4 --train.tensorboard_name $datasetname >stdout_$datasetname.log 2>stderr_$datasetname.log &
echo '14lap'
datasetname=14lap
launch -- python3 $folder/train.py --train.max_iters 500000 --data.dataset_root "$folder/dataset/ASTE-Data-V2-EMNLP2020/$datasetname" --data.batch_size 8 --save_path ./checkpoint/$datasetname --resume_path ./checkpoint/$datasetname/model.pkl --data.cropus_path $folder/dataset/cropus/42B_w2v.txt --train.lr 1e-4 --train.tensorboard_name $datasetname >stdout_$datasetname.log 2>stderr_$datasetname.log &
echo '15res'
datasetname=15res
launch -- python3 $folder/train.py --train.max_iters 500000 --data.dataset_root "$folder/dataset/ASTE-Data-V2-EMNLP2020/$datasetname" --data.batch_size 8 --save_path ./checkpoint/$datasetname --resume_path ./checkpoint/$datasetname/model.pkl --data.cropus_path $folder/dataset/cropus/42B_w2v.txt --train.lr 1e-4 --train.tensorboard_name $datasetname >stdout_$datasetname.log 2>stderr_$datasetname.log &
echo '16res'
datasetname=16res
launch -- python3 $folder/train.py --train.max_iters 500000 --data.dataset_root "$folder/dataset/ASTE-Data-V2-EMNLP2020/$datasetname" --data.batch_size 8 --save_path ./checkpoint/$datasetname --resume_path ./checkpoint/$datasetname/model.pkl --data.cropus_path $folder/dataset/cropus/42B_w2v.txt --train.lr 1e-4 --train.tensorboard_name $datasetname >stdout_$datasetname.log 2>stderr_$datasetname.log &
